Data Platform Engineer (AI-Enabled)
Location(s): Pune, Maharashtra, India
INR 1500K-2500K (estimate) Mid-level Full Time
Tasks
- Build distributed data processing systems
- Build scalable data platform
- Configure Model Context Protocol servers
- Design OLTP operational data store and data warehouse
- Design data pipelines
- Develop ETL and ELT workflows
- Develop MCP compatible tool interfaces
- Develop SQL and PL/SQL solutions
- Develop data lakes and data warehouses
- Develop real-time data processing pipelines
- Implement data quality and data lineage
- Implement data virtualization and federation
- Implement retrieval-augmented generation using vector databases
- Integrate AI agents into data engineering workflows
- Optimize and scale data processing
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Ab Initio | Airflow | Amazon Redshift | Data Federation | Data Lake | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Store | Data Warehousing | Data mesh | Data virtualization | Databricks | Distributed Systems | ELT | ETL | Flink | Hadoop | Java | LLM integration | Language Models | Large Language Models | Model Context Protocol | MongoDB | OLTP | Operational data | Operational data store | Oracle | PL/SQL | Python | RAG | Retrieval-Augmented Generation | SQL | Scala | Snowflake | Spark | Starburst | Talend | Trino | Unix Shell | Vector Databases
Education
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